P. Pavanati
Papers
1
Total Citations
17
H-Index
1
About
P. Pavanati is a researcher whose work lies at the intersection of mobile robotics and sensor fusion, with a particular focus on navigation and state estimation. Their most cited paper, "An application of the extended Kalman filter for integrated navigation in mobile robotics" (1997, 17 citations), addresses the fundamental challenge of accurately estimating a robot's position in real time. By tackling the nonlinear dynamics of ground robots and their measurement devices, Pavanati applied the extended Kalman filter to fuse data from a gyro and two wheels for dead reckoning. This contribution is notable for its practical approach to integrated navigation, offering a robust solution for wheeled mobile robots operating in uncertain environments. While their citation count reflects a focused impact, the work remains a relevant reference for researchers exploring sensor integration and localization in robotics. Pavanati’s research underscores the importance of combining theoretical estimation techniques with real-world robotic applications, making their work a valuable resource for students and engineers developing autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1